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Understanding Academic Writing Patterns: Turnitin Data Analysis Across Faculties

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posted on 2025-07-02, 06:55 authored by Ka Yu Chong, Lok Wa Chung, Kelvin Lo
<p dir="ltr">Academic integrity remains a cornerstone of higher education, yet its assurance faces unprecedented challenges in the digital era. Tools like Turnitin have changed how universities address these challenges; however, making full use of the data they provide is key to understanding usage patterns and supporting a culture of integrity. This study analyzed Turnitin usage across all faculties at the University of Hong Kong from July 2019 to June 2024. Using cleaned and integrated data, we examined trends in assignment submissions, similarity scores, feedback, and rubric use. Advanced analytics helped identify high-risk classes and accounts, and explored how feedback practices relate to plagiarism. Results showed differences in Turnitin engagement and risk across faculties, with some areas seeing consistently high rates of unsubmitted or high-similarity assignments. Feedback and rubric use were limited in some disciplines, suggesting opportunities for targeted improvements. Ultimately, it concluded with recommendations and future research directions, including qualitative insights and tracking intervention outcomes over time.</p>

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